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ML.NET version: 1.4
I'm working to port [this sample](https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/DeepLearning_ImageClassification_Training) to ML.N…
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I'm trying to run this solution
https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/DeepLearning_ImageClassification_Training
with GPU , but im getting t…
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The following code yields an error. I'm using a Conda environment with Python 3.6 because it is required for the ConfigSpace Python package.
```python
import autogluon as ag
from autogluon import…
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Hi again,
I've been playing with ImageClassificationBarebones example. I would like to use the MyCaffeControl object I created, take the network that has been trained with the Solver, and **Run()**…
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I'm seeing an inconsistent results between Reluplex and NSVerify, both complete solvers, on the same problem. I believe that NSVerify is correct since the counter-example it returns back is a valid co…
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Hi - I've been working with one of the sample projects (DeepLearning_ImageClassification_Training) - these projects are great and super helpful for getting started. But I've found something that cause…
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```
ImageClassification::ImageClassification(
const std::shared_ptr &data,
const std::vector &data_columns,
const std::string &annotation_column)
: AnnotationBase(data, data_colum…
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Hi,
In the tutorial "Tutorial: Automated visual inspection using transfer learning with the ML.NET Image Classification API", how can the trained model be saved and consumed for later? and how to …
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Tried to assign a new tensorflow.js model generated by google to your image classification example. Code changed:
```
classifier = ml5.imageClassifier('./tfjs/model.json');
img = loadImage('./ima…
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Hey,
I`m having problem with starting sample solution indicated in subject of this issue.
While running the start project, all is fine and dandy untill command :
` var pipeline = mlContex…
l1pus updated
4 years ago